IDEAS home Printed from https://ideas.repec.org/p/ags/iaae09/51791.html
   My bibliography  Save this paper

An Analysis of Demand Elasticities for Fluid Milk Products in the U.S

Author

Listed:
  • Davis, Christopher G.
  • Blayney, Donald P.
  • Cooper, Joseph C.
  • Yen, Steven T.

Abstract

This study examines retail fluid milk products purchase data from Nielsen 2005 home scan data. The demand for seven categories of fluid milk products were estimated: whole milk, whole flavored milk, reduced fat milk, flavored reduced fat milk, buttermilk, canned milk and all other fluid milk products. Analyses of the purchases of seven fluid milk categories based on the Nielsen 2005 home scan retail data are used to determine the roles marital status, age, race, education, female employment status and location play in the empirical estimations of aggregate demand elasticities. To derive the demand elasticities, a censored translog demand system is used. The results reveal that price and income are the main determinants of demand for fluid milk products with a few minor determinants. All own-price elasticities are greater than unity for all fluid milk categories except for the compensated reduced fat milk. All expenditure elasticities are inelastic except for reduced fat milk and most of the fluid milk categories are substitutes.

Suggested Citation

  • Davis, Christopher G. & Blayney, Donald P. & Cooper, Joseph C. & Yen, Steven T., 2009. "An Analysis of Demand Elasticities for Fluid Milk Products in the U.S," 2009 Conference, August 16-22, 2009, Beijing, China 51791, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae09:51791
    DOI: 10.22004/ag.econ.51791
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/51791/files/IAAE%202009-Ref%20356-Davis.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.51791?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gould, Brian W. & Cox, Thomas L. & Perali, Carlo Federico, 1990. "The Demand For Fluid Milk Products In The U.S.: A Demand Systems Approach," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-12, July.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. Yen, Steven T. & Lin, Biing-Hwan & Davis, Christopher G., 2008. "Consumer knowledge and meat consumption at home and away from home," Food Policy, Elsevier, vol. 33(6), pages 631-639, December.
    4. Gould, Brian W., 1996. "Factors Affecting U.S. Demand For Reduced-Fat Fluid Milk," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(1), pages 1-14, July.
    5. Heien, Dale & Pompelli, Greg, 1988. "The Demand For Beef Products: Cross-Section Estimation Of Demographic And Economic Effects," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    6. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    7. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation Of Food Demand And Nutrient Elasticities From Household Survey Data," Technical Bulletins 33579, United States Department of Agriculture, Economic Research Service.
    8. Schmit, Todd M. & Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M. & Gould, Brian W., 2002. "Identifying The Effects Of Generic Advertising On The Household Demand For Fluid Milk And Cheese: A Two-Step Panel Data Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-22, July.
    9. Wyatt Thompson, 2004. "Using Elasticities from an Almost Ideal Demand System? Watch Out for Group Expenditure!," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1108-1116.
    10. Blanciforti, Laura Ann & Green, Richard, 1983. "The Almost Ideal Demand System: A Comparison and Application to Food Groups," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 35(3), pages 1-10, July.
    11. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Diego Jimenez-Hernandez & Enrique Seira, 2022. "Should the government sell you goods? Evidence from the milk market in Mexico," Working Paper Series WP 2023-19, Federal Reserve Bank of Chicago.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    2. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    3. Biing‐Hwan Lin & Steven T. Yen & Diansheng Dong & David M. Smallwood, 2010. "Economic Incentives For Dietary Improvement Among Food Stamp Recipients," Contemporary Economic Policy, Western Economic Association International, vol. 28(4), pages 524-536, October.
    4. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Yen, Steven T. & Stillman, Richard, 2012. "U.S. Fluid Milk Demand: A Disaggregated Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(1), pages 1-26, February.
    5. Cuma Akbay, 2007. "Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 851-867, December.
    6. Caro, Juan Carlos & Ng, Shu Wen & Taillie, Lindsey Smith & Popkin, Barry M., 2017. "Designing a tax to discourage unhealthy food and beverage purchases: The case of Chile," Food Policy, Elsevier, vol. 71(C), pages 86-100.
    7. Bilgic, Abdulbaki & Yen, Steven T., 2013. "Household food demand in Turkey: A two-step demand system approach," Food Policy, Elsevier, vol. 43(C), pages 267-277.
    8. Zhou, Xia “Vivian”, 2015. "Using Almost Ideal Demand System To Analyze Demand For Shrimp In Us Food Market," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(3), pages 1-16, July.
    9. Hayley H. Chouinard & David E. Davis & Jeffrey T. LaFrance & Jeffrey M. Perloff, 2010. "Milk Marketing Order Winners and Losers," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 59-76.
    10. Chambwera, Muyeye & Folmer, Henk, 2007. "Fuel switching in Harare: An almost ideal demand system approach," Energy Policy, Elsevier, vol. 35(4), pages 2538-2548, April.
    11. Awudu Abdulai & Devendra K. Jain & Ashok K. Sharma, 1999. "Household Food Demand Analysis in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(2), pages 316-327, May.
    12. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Owens, Ashley, 2010. "An Analysis of U.S. Household Dairy Demand," Technical Bulletins 184308, United States Department of Agriculture, Economic Research Service.
    13. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    14. McCullough, Ellen & Zhen, Chen & Shin, Soye & Lu, Meichen & Arsenault, Joanne, 2022. "The role of food preferences in determining diet quality for Tanzanian consumers," Journal of Development Economics, Elsevier, vol. 155(C).
    15. Wu, T. & Thomassin, P.J., 2018. "The Impact of Carbon Tax on Food Prices and Consumption in Canada," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275913, International Association of Agricultural Economists.
    16. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    17. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2008. "Emerging food demand behaviors in Malaysia: Incorporating quality effects in demand analyses," MPRA Paper 14832, University Library of Munich, Germany.
    18. Regorsek, Darla & Erjavec, Emil & Pfajfar, Lovrenc, 2005. "Food Demand in Slovenia," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183782, Slovenian Association of Agricultural Economists (DAES).
    19. MacDonald, James M. & Cessna, Jerry & Mosheim, Roberto, 2016. "Changing Structure, Financial Risks, and Government Policy for the U.S. Dairy Industry," Economic Research Report 262200, United States Department of Agriculture, Economic Research Service.
    20. Cuma Akbay & Gulgun Yildiz Tiryaki, 2008. "Unpacked and packed fluid milk consumption patterns and preferences in Turkey," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 9-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae09:51791. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.